Comments (3)
- we have different tag used for different system.
- our code coverage, as unit test just focusing on kepler/kepler core logic but not each tag.
- for each build tag targeting with specific system/hardware, provider should keep eye on them self?
- if possible should we test with specific system/hardware? I suppose yes.
- Here comes the thing at unit test scope, as should we run the test base on a clean env or base on docker?
I want to do unit test with a clean env. which means we have to install bcc from zero.
- for container or not
as unit test in different github action with docker build, if we just use base container, which means each time, it will use lates t base image on main branch but not the pr one. otherwise, to ensure we use the base image build by pr, it's seems we need to install bcc during docker build isn't we?
as summary, I suppose accelerate with docker means we need build docker image and use it to test ...
if we install bcc during docker image, what's different with install bcc in github agent?
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The kepler base container has already installed bcc. No build is needed. It is the target environment where kepler runs. Aligning the CI setup to this environment is closer to what we need.
from kepler.
The kepler base container has already installed bcc. No build is needed. It is the target environment where kepler runs. Aligning the CI setup to this environment is closer to what we need.
I also checked bcc https://github.com/iovisor/bcc/blob/master/INSTALL.md#ubuntu---binary and ... as ubuntu's release for bcc is still out of date...
k... let's try to use base container to run the unit test.
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Related Issues (20)
- Integrate Kepler with Graphite ? HOT 5
- In `GetGPUPower()`, Kepler should use the per GPU Power consumption to calculate the process's how much power consumed by the process HOT 1
- Defects and vulnerabilities reported by Snyk scan HOT 4
- disable stale bot for this repo as which is archived for now.
- The Deployment "kepler-model-server" is invalid: spec.template.spec.containers[1].volumeMounts[1].name: Not found: "model-data" HOT 16
- Instability when running in AWS EKS on some instance families HOT 4
- Local Deployment w/ Minikube and Helm Charts
- [Unit test] unit test errors
- Not consistent in getting pod information. Sometimes even namespaces are not listed HOT 3
- Kepler stops sending data after 1h HOT 11
- daily.yml failed on forked repo HOT 4
- Question: Ratio Power Model Is changeable? HOT 2
- Kepler in Kind - Wrong OPTS for building manifest HOT 5
- Kepler reports unrealistic measurements for short period HOT 4
- kepler_node_dram_joules_total = 0 on RHEL9/arm64 system
- kepler_node_core_joules_total=0 on RHEL9/x86_64
- kepler_node_info reports UNKNOWN cpu_architecture on RHEL9/arm64
- Kepler metric readings incorrectly report “source=intel-rapl” on RHEL9/arm64
- Huge difference between Kepler power consumption and real PDU power consumption HOT 3
- Could not find any ACPI power meter path. Is it a VM? HOT 7
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